DocumentCode :
589456
Title :
Research on Vehicles Information Extraction of the Shaded Area from High-Resolution Satellite Images
Author :
Guo Dudu ; Liang Yanping ; Wang Bing
Author_Institution :
Traffic Eng. Dept., Xinjiang Univ., Urumqi, China
Volume :
1
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
477
Lastpage :
480
Abstract :
High-resolution satellite remote sensing brings new ideas to urban traffic information collection, which is a good source of traffic flow data. According to the characteristics of shadow area in remote sensing image, this paper studies the technology and the key method of the vehicle information extraction of the shaded area from high-resolution remote sensing images, and proposes the method that combined classification of vehicle morphological rule and HSV color space analysis, finally preliminary explores the question how to identify the target vehicle of the shaded area.
Keywords :
image classification; remote sensing; satellite tracking; HSV color space analysis; combined classification; high-resolution satellite images; high-resolution satellite remote sensing; shaded area; target vehicle; traffic flow data; urban traffic information collection; vehicle morphological rule; vehicles information extraction; Computational intelligence; Classification of Vehicles Morphological Rule; HSV Color Space Analysis; High-resolution Satellite Images; Shaded Area; Vehicle Extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.125
Filename :
6407025
Link To Document :
بازگشت